Yuting Bai

2.2k total citations
73 papers, 1.6k citations indexed

About

Yuting Bai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Yuting Bai has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 24 papers in Electrical and Electronic Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Yuting Bai's work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Indoor and Outdoor Localization Technologies (13 papers) and Energy Load and Power Forecasting (11 papers). Yuting Bai is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Indoor and Outdoor Localization Technologies (13 papers) and Energy Load and Power Forecasting (11 papers). Yuting Bai collaborates with scholars based in China and India. Yuting Bai's co-authors include Xuebo Jin, Tingli Su, Jianlei Kong, Xiaoyi Wang, Zhiyao Zhao, Baihai Zhang, Xuebo Jin, Prąsun Chakrabarti, Bin Yan and Peng Yao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Yuting Bai

67 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuting Bai China 24 467 347 313 257 224 73 1.6k
Tingli Su China 21 437 0.9× 331 1.0× 292 0.9× 274 1.1× 376 1.7× 76 1.7k
Xuebo Jin China 25 526 1.1× 336 1.0× 388 1.2× 297 1.2× 506 2.3× 76 2.1k
Xiaoyi Wang China 28 505 1.1× 428 1.2× 339 1.1× 295 1.1× 165 0.7× 231 2.5k
Jianlei Kong China 26 500 1.1× 325 0.9× 300 1.0× 320 1.2× 626 2.8× 90 2.3k
Alaa Sheta United States 24 665 1.4× 307 0.9× 181 0.6× 155 0.6× 64 0.3× 140 2.0k
Jia Wu China 16 472 1.0× 302 0.9× 465 1.5× 138 0.5× 56 0.3× 58 2.0k
Rohit Sharma India 27 375 0.8× 436 1.3× 195 0.6× 178 0.7× 39 0.2× 107 2.1k
A.E. Ruano Portugal 28 741 1.6× 1.1k 3.1× 645 2.1× 415 1.6× 283 1.3× 156 3.1k
Neeraj Dhanraj Bokde India 23 376 0.8× 608 1.8× 176 0.6× 225 0.9× 27 0.1× 74 1.9k
Jinran Wu Australia 19 386 0.8× 466 1.3× 144 0.5× 177 0.7× 30 0.1× 95 1.3k

Countries citing papers authored by Yuting Bai

Since Specialization
Citations

This map shows the geographic impact of Yuting Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuting Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Bai more than expected).

Fields of papers citing papers by Yuting Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuting Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuting Bai. The network helps show where Yuting Bai may publish in the future.

Co-authorship network of co-authors of Yuting Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Bai. A scholar is included among the top collaborators of Yuting Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuting Bai. Yuting Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bai, Yuting, et al.. (2025). A Novel Adaptive State Estimation Model: Kalman Filter Coupled With Neural Networks. International Journal of Adaptive Control and Signal Processing. 39(5). 914–926. 2 indexed citations
2.
3.
Jin, Xuebo, et al.. (2024). GPS Tracking Based on Stacked-Serial LSTM Network. 1(1). 50–62. 4 indexed citations
4.
Zhang, Yulei, Yuting Bai, Xuebo Jin, Zhiyao Zhao, & Tingli Su. (2024). A novel broad learning system integrated with restricted Boltzmann machine and echo state network for time series forecasting. Engineering Applications of Artificial Intelligence. 133. 108315–108315. 4 indexed citations
5.
Jin, Xuebo, et al.. (2024). Fuzzy adaptive-normalized deep encoder-decoder network: Medium and long-term predictor of temperature and humidity in smart greenhouses. Computers and Electronics in Agriculture. 226. 109480–109480. 7 indexed citations
6.
Bai, Yuting, Wei Jia, Xuebo Jin, Tingli Su, & Jianlei Kong. (2023). Location estimation based on feature mode matching with deep network models. Frontiers in Neurorobotics. 17. 1181864–1181864. 1 indexed citations
7.
8.
Zhang, Yulei, et al.. (2023). Deep Fusion Prediction Method for Nonstationary Time Series Based on Feature Augmentation and Extraction. Applied Sciences. 13(8). 5088–5088. 3 indexed citations
9.
Jin, Xuebo, et al.. (2023). Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction. Entropy. 25(2). 247–247. 68 indexed citations
10.
Kong, Jianlei, et al.. (2023). LCA-Net: A Lightweight Cross-Stage Aggregated Neural Network for Fine-Grained Recognition of Crop Pests and Diseases. Agriculture. 13(11). 2080–2080. 5 indexed citations
11.
Bai, Yuting, et al.. (2023). Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization. Mathematics. 11(6). 1503–1503. 7 indexed citations
12.
Sun, Qian, Xiaoyi Wang, Zhiyao Zhao, et al.. (2023). Optimal Deployment for Hybrid Sensor Networks Based on Efficient Node Configuration. International Journal of Intelligent Systems. 2023(1). 1 indexed citations
13.
Kong, Jianlei, et al.. (2023). BMAE-Net: A Data-Driven Weather Prediction Network for Smart Agriculture. Agronomy. 13(3). 625–625. 38 indexed citations
14.
Bai, Yuting, et al.. (2022). A Novel Broad Echo State Network for Time Series Prediction: Cascade of Mapping Nodes and Optimization of Enhancement Layer. Applied Sciences. 12(13). 6396–6396. 3 indexed citations
15.
Jin, Xuebo, et al.. (2021). Modeling and Analysis of Data‐Driven Systems through Computational Neuroscience Wavelet‐Deep Optimized Model for Nonlinear Multicomponent Data Forecasting. Computational Intelligence and Neuroscience. 2021(1). 8810046–8810046. 5 indexed citations
16.
Bai, Yuting, et al.. (2020). Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis. International Journal of Environmental Research and Public Health. 17(1). 360–360. 26 indexed citations
17.
Bai, Yuting, Xiaoyi Wang, Xuebo Jin, et al.. (2020). Adaptive filtering for MEMS gyroscope with dynamic noise model. ISA Transactions. 101. 430–441. 38 indexed citations
18.
Zhao, Zhiyao, et al.. (2020). Improved D*Lite algorithm path planning in complex environment. 2226–2230. 4 indexed citations
19.
Jin, Xuebo, et al.. (2020). Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction. Mathematics. 8(2). 214–214. 77 indexed citations
20.
Bai, Yuting, Xiaoyi Wang, Qian Sun, et al.. (2019). Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network. International Journal of Environmental Research and Public Health. 16(20). 3788–3788. 15 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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